Sr Data Operations Engineer

Job Description:

Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead – our policyholders count on us to be there when it matters most. It’s a big ask, but it’s one that we have the power to deliver when we work together. We collaborate and innovate – pushing one another to transform not just Pacific Life, but the entire industry for the better.

Why? Because it’s the right thing to do. Pacific Life is more than a job, it’s a career with purpose. It’s a career where you have the support, balance, and resources to make a positive impact on the future – including your own.

We’re actively seeking a Sr Data Operations Engineer, to join our team in Newport Beach, CA or Omaha, NE. Relocation Assistance may be provided.

As a Sr Data Operations Engineer, your primary responsibility will center on data operations within our SaaS Policy Administration platform and its supporting systems. You will oversee the management, integrity, and optimization of data flows across multiple domains—ensuring data accuracy, quality, and availability. The role involves monitoring and maintaining data pipelines, troubleshooting issues, and fostering seamless data integration between billing, claims, customer management, and reporting systems.

You will collaborate closely with technical delivery teams, business units, and vendors to support frequent data-related requests and to uphold compliance with industry standards. The ideal candidate will possess strong experience in data service delivery, demonstrate expertise in resolving incidents and performing root‑cause analysis, and be proficient at documenting processes and solutions. By championing robust data operations, you will play a vital part in supporting platform reliability, regulatory adherence, and an exceptional user experience.

• Monitor, troubleshoot, and escalate data pipeline issues; perform root cause analysis.
• Set up and maintain monitoring dashboards, alerts, and respond promptly to ensure uptime.
• Manage job schedules, dependencies, and coordinate fixes with engineering teams.
• Oversee user access, permissions, and audit logs for security and compliance.
• Investigate and resolve data quality issues; communicate with stakeholders and track recurring problems.
• Maintain documentation, runbooks, and onboarding materials for incident response and knowledge sharing.
• Coordinate, validate, and monitor platform/data changes; communicate updates or rollbacks.
• Provide user support, respond to queries, communicate outages, and deliver training.
• Support audits and compliance by maintaining documentation and tracking metrics.
• Use SQL, Python, Tableau, Snowflake, and automation tools to improve operations.
• Enforce data governance standards and document methodologies for transparency.
• Work with internal and external teams for secure, scalable integrations and data flows.
• Enhance observability and proactively address data issues using Splunk, Grafana, and Data Dog.
• Identify and implement improvements for reliability, latency, and cost‑efficiency.
• Partnering with data architects, analysts, engineers, and business stakeholders to understand data requirements and deliver solutions in an effective manner.
• Align data operations with business strategy through close collaboration with leaders, delivery teams, and vendors.
• Build scalable & reliable solutions with robust security, quality, performance and governance protocols.
• Deliver solutions aligned with modern target state architecture and cloud‑based technologies.
• Create and maintain high‑level and detailed design artifacts that support data engineering solutions.
• Lead creation and maintenance of automated and scalable test, build and deploy workflows aligned with modern CI/CD practices.
• Promoting a culture of continuous improvement and agile methodologies.
• Lead code reviews to ensure data engineering standards and best practices are followed.
• Demonstrate adaptability, initiative and attention to detail through deliverables and ways of working.

• Bachelor’s degree in Computer Science, Information Systems, or related field.
• 6+ years of experience in data…